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Bundle Multi (2-in-1) - Microsoft Power BI

Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate

Uplatz

Summary

Price
Save 9%
£19 inc VAT (was £21)
Offer ends 31 July 2025
Study method
Online, On Demand What's this?
Duration
39.6 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
  • Reed courses certificate of completion - Free

Overview

Uplatz offers this comprehensive 2-in-1 multi bundle course on Power BI. It is a self-paced course with pre-recorded video lectures by two different tutors. You will be awarded Course Completion Certificate at the end of the course.

This is the Bundle Multi (2-in-1) – Microsoft Power BI Course by Uplatz consists of self-paced training (pre-recorded videos) on the following modules:

  1. Microsoft Power BI
  2. Microsoft Power BI (basic to advanced)

Power BI is a Business Intelligence, cloud-based platform that provides non-technical users with tools to analyze, visualize and store data. Power BI is simple and user friendly and best for the user familiar with Excel. It converts data from different sources to interactive dashboards and BI reports and is used by data analyst and business intelligence to a create report. Power BI includes several components: Power BI desktop, gateway, mobile app and services. It allows user to connect to SQL database, Azure cloud and web platform like Facebook, Google analytics etc.

Power BI is a very new tool in the hands of companies that are overwhelmed by the amount of data available and yet have cheap tools to extract insights. After completing this course, as a trained professional, you will have access to Power BI. It is a set of tools and applications that allow you to extract data from multiple independent sources and turn it into a compelling, well-managed and consistent collection of information, Insights, interactive data, charts, graphs and reports.

This comprehensive Power BI course bundle provides complete training in Microsoft's powerful business intelligence platform. Combining beginner and advanced levels, it gives you end-to-end skills for transforming raw data into meaningful business insights.

Course Content:
The program covers the full Power BI workflow, including:

  • Connecting to various data sources (SQL, Excel, cloud services)

  • Cleaning, transforming, and modeling data

  • Creating interactive visualizations and dashboards

  • Performing different types of analysis (trend, correlation, variance)

  • Developing advanced calculations using DAX formulas

  • Building professional reports for business decision-making

Learning Path:

  1. Power BI Fundamentals - Core concepts, basic visualizations, and simple reports

  2. Power BI Advanced - Complex data modeling, optimized dashboards, and enterprise solutions

Ideal For:

  • Beginners starting a career in data analytics

  • Business professionals moving from Excel to BI tools

  • IT specialists expanding into data visualization

  • Managers needing data-driven decision skills

  • Consultants offering BI services

Key Benefits:

  • Complete learning path in one package

  • Practical, hands-on training approach

  • Self-paced online format with lifetime access

  • Certificate upon completion

Career Opportunities:
Graduates will be prepared for roles such as Power BI Developer, Data Analyst, Business Intelligence Specialist, and Reporting Analyst across various industries.

The course is delivered through video lectures with real-world examples and exercises, allowing you to learn at your own pace while developing practical, job-ready skills.

Certificates

Certificate of completion

Digital certificate - Included

Course Completion Certificate by Uplatz

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

2
sections
51
lectures
39h 39m
total

    • 1: Introduction to Power BI Preview 20:51
    • 2: Installation Process of Desktop Power BI 01:57
    • 3: Power BI Desktop - part 1 23:35
    • 4: Power BI Desktop - part 2 18:05
    • 5: Power BI Desktop - part 3 Preview 30:14
    • 6: Power BI Desktop - part 4 30:09
    • 7: Power BI Desktop - part 5 21:32
    • 8: Power BI Desktop - part 6 33:52
    • 9: Star Schema 09:10
    • 10: Merge Queries and Join Kind 07:49
    • 11: Data Model Structure 01:52
    • 12: Relationship View 10:39
    • 13: Cardinality - Cross Filter Direction - Active Properties 12:44
    • 14: M Language and DAX Language 16:22
    • 15: Report View - part 1 26:35
    • 16: Report View - part 2 15:46

    • 17: Lecture 1 - Power BI 2:00:46
    • 18: Lecture 2 - Power BI 1:11:26
    • 19: Lecture 3 - Power BI 1:12:22
    • 20: Lecture 4 - Power BI 1:03:39
    • 21: Lecture 5 - Power BI 1:07:33
    • 22: Lecture 6 - Power BI 1:15:47
    • 23: Lecture 7.1 - Power BI 1:06:13
    • 24: Lecture 7.2 - Power BI 19:07
    • 25: Lecture 8 - Power BI 1:13:51
    • 26: Lecture 9 - Power BI 1:21:57
    • 27: Lecture 10.1 - Power BI 33:47
    • 28: Lecture 10.2 - Power BI 52:16
    • 29: Lecture 11 - Power BI 1:15:55
    • 30: Lecture 12 - Power BI 1:17:30
    • 31: Lecture 13 - Power BI 06:58
    • 32: Lecture 14 - Power BI 1:04:40
    • 33: Lecture 15 - Power BI 1:45:08
    • 34: Lecture 16 - Power BI 44:44
    • 35: Lecture 17 - Power BI 55:26
    • 36: Lecture 18 - Power BI 37:17
    • 37: Lecture 19 - Power BI 54:27
    • 38: Lecture 20 - Power BI 32:30
    • 39: Lecture 21 - Power BI 40:35
    • 40: Lecture 22 - Power BI 1:13:29
    • 41: Lecture 23 - Power BI 1:28:03
    • 42: Lecture 24 - Power BI 58:25
    • 43: Lecture 25 - Power BI 1:00:07
    • 44: Lecture 26 - Power BI 54:52
    • 45: Lecture 27 - Power BI 50:23
    • 46: Lecture 28 - Power BI 58:34
    • 47: Lecture 29 - Power BI 46:31
    • 48: Lecture 30 - Power BI 42:23
    • 49: Lecture 31 - Power BI 1:17:24
    • 50: Lecture 32 - Power BI 52:22
    • 51: Lecture 33 - Power BI 40:57

Course media

Description

Microsoft Power BI - Course Syllabus

Introduction to Power BI

  • What is Power BI?

  • The Power BI service

  • Power BI Report Server

  • Power BI Desktop

  • Reports and Dashboards

  • Datasets

  • Row-Level Security

  • Content Packs

  • Natural Language Queries

Power BI Desktop

  • What is Power BI Desktop

  • Installation Process of Desktop Power BI

  • Using Power BI Desktop

  • Practical Scenarios

​​Data Sources

  • Connecting to Files

  • Importing Excel Files

  • Publishing to Power BI from Excel

  • Updating Files in Power BI

  • Data Refresh

  • The Power BI Data Model

  • Managing Data Relationships

  • Optimising the Model for Reporting

  • Hierarchies

  • SQL Servers

  • Other Data Sources

  • R Script Data Connector

  • Configuring Data for Q&A

  • Creating Content Packs

  • Creating a Group

Shaping and Combining Data

  • The Query Editor

  • Applied Steps

  • Advanced Editor

  • Shaping Data

  • Formatting Data

  • Transforming Data

  • Combining Data

  • Merging Data

Modelling and Loading Data

  • What are the Relationships?

  • Viewing Relationships

  • Creating Relationships

  • Star Schema

  • Merge Queries and Join Kind

  • Data Model Structure

  • Relationship View

  • Cardinality

  • Cross Filter Direction

  • Active Properties

  • What is DAX?

  • Syntax

  • Functions

  • Context

  • Calculated Columns

  • Calculated Tables

  • Measures

Interactive Data Visualization

  • Power BI Reports: Page Layout and Formatting

  • M Language and DAX Language

  • Multiple Visualisations

  • Creating Charts

  • Using Geographic Data

  • Histograms

  • Power BI Admin Portal

  • Service Settings

  • Desktop Settings

  • Dashboard and Report Settings

Microsoft Power BI (basic to advanced) - Course Syllabus

  • Introduction to Power BI

  • Connecting to a Database

  • Working with Dates

  • Conditional Columns

  • Merge Queries

  • Creating Calculated Columns

  • Creating Calculated Measures

  • Creating and Managing Hierarchies

  • Manually typing in a Data Table

  • Include and Exclude

  • Pie Chart and Tree Map

  • Filters

  • Slicers - Date Slicers

  • Map Visualization

  • Table and Matrix

  • Table Styles

  • Waterfall Gauge Card and KPI

  • Shapes, Text Boxes, and Images

  • Page Layout and Formatting

  • Importing Excel Data using Simple Table

Who is this course for?

1. Aspiring Data Professionals

  • Beginners looking to enter the field of data analytics & business intelligence

  • Students & fresh graduates aiming for data-driven careers

2. Business & Finance Professionals

  • Business Analysts seeking advanced data visualization skills

  • Financial Analysts needing interactive reporting & dashboards

  • Marketing & Sales Professionals analyzing customer & campaign data

3. IT & Data Specialists

  • Excel Users transitioning to Power BI for advanced analytics

  • SQL/Data Warehouse Professionals expanding into visualization

  • Database Administrators integrating data into BI reports

4. Managers & Decision-Makers

  • Project Managers tracking KPIs through dashboards

  • Operations Managers monitoring performance metrics

  • Executives & Leaders requiring real-time business insights

5. Career Changers & Freelancers

  • Professionals shifting to data analyst/BI consultant roles

  • Freelancers & Consultants offering Power BI services

Requirements

Zeal and passion to learn and succeed !!

Career path

  • Microsoft Power BI Analyst
  • Power BI Developer
  • Power BI Application Developer
  • Power BI Administrator
  • Data Analyst
  • Data Visualization Developer - Power BI
  • Data Engineer
  • Reporting Analyst
  • Data Consultant
  • Marketing/Financial Analyst
  • Power BI Insight Analyst
  • Power BI Engineer
  • Power BI Lead
  • Finance Data Analyst - Power BI
  • Business Analyst - Power BI
  • Senior Power BI Developer
  • Technical Business Analyst

Questions and answers

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Reviews

2.6
Course rating
20%
Service
60%
Content
80%
Value

Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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